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  • CRICOS Course Code – 114039D
  • Course ID – CRS1401463
  • AQF level – 9
  • Mode of Study – Blended
  • Outcome – Master of Information Technology

The Master of Information Technology (MIT) is designed to position graduates as highly skilled and knowledgeable professionals who work with data analytics and artificial intelligence (AI) to drive change and improve business outcomes.

Students are encouraged to bring your own device (BYOD) for studying.

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What You Will Study

The Master of Information Technology (MIT) is designed to position graduates as highly skilled and knowledgeable professionals that work use data analytics and artificial intelligence (AI) to drive change and improve business outcomes.

The Master of Information Technology has been designed to create professionals equipped with the toolkit they need to tackle today’s most pressing decision support challenges for businesses and organisations, provide an understanding of theoretical and technological research advances in AI, particularly in the context of data analytics and applied artificial intelligence. In addition, students are given a good grounding in the ethical, cultural, and social responsibility they have as AI and data analytics professionals. The course also encourages them to be creative and entrepreneurial thinkers who can use Innovative thinking to help transform existing organisations and create new business ventures.

Students have the opportunity to study current trends and predict future ones in the area of Artificial Intelligence and its associated technologies. A double capstone subject will enable students to synthesise their knowledge and skills in an applied task. Some students will engage in their own entrepreneurial venture and others will engage in applyingdata analytics and artificial intelligence techniques to industry related projects.

Students will study a core of 8 subjects which provides a good grounding in managing data, programming, professional communication, AI and entrepreneurship. In addition, they have the flexibility to choose between two majors: Data Analytics or Applied Artificial Intelligence.

Career Outcomes

On successful completion of this course, students will demonstrate mastery of current theoretical principles and research outcoes in their major area of study to:

  • analyse complex real-world situations to identify opportunities for the application of advanced technological approaches that can transform existing organisations and support entrepreneurial business ventures;
  • critically analyse a complex problem, and evaluate a range of advanced technologies to select an appropriate solution methodology using an evidence-based justification;
  • generate creative solutions to address complex real-world problems by utilising advanced technologies and tools to design and implement software solutions and critically evaluate the outcomes;
  • communicate complex technical and theoretical concepts utilised in formulating detailed solution and implementation processes to a variety of audiences using advanced research, presentation and writing skills;
  • work collaboratively as a member and/or leader of diverse teams, employing appropriate interpersonal, professional, and technical communication skills;
  • critically analyse the role that legal compliance, ethical conduct and social responsibility play in advanced professional practice;
  • critically reflect on personal performance and learning as a basis for self-management and continuing professional and personal development.

Read more about career outcomes here.

Course Duration

The Master of Information Technology is a 2-year full-time course (or equivalent part-time). It is normally delivered over 4 study periods (2 study periods per year). Each study period consists of 12 teaching weeks plus a mid-study period break of 1 week and 2 assessment weeks.

Full-time students will normally enroll in 4 subjects per study period (8 subjects per year). Please allocate 10 hours per week for each subject. This includes 3 contact hours face-to-face on campus, plus 7 hours for personal/private study, totaling 40 hours per week for full-time study.

Students undertaking blended learning mode will attend lectures/seminars on campus. They will also submit assignments and complete some collaborative work online.
Total Course Hours
Contact Hours576
Personal Study Hours1344
TOTAL COURSE HOURS1920

Course Structure

The Master of Information Technology is a postgraduate qualification consisting of 16 subjects (160 credit points), taught face to face in English, which normally takes two years of full-time study or part-time equivalent.

To be eligible to graduate from the Master of Information Technology students are required to complete the 16 subjects which must include:

  • 8 core subjects including 2 capstone project subjects and
  • an IT major of 8 subjects

To be awarded the Master of Information Technology with a specialisation in Applied Artificial Intelligence, students must complete 16 subjects (160 credit points) which must include the 8 core subjects and the 8 subjects listed in the Applied Artificial Intelligence (AAI) major in the table below.

To be awarded the Master of Information Technology with a specialisation in Data Analytics, students must complete 16 subjects (160 credit points) which must include the 8 core subjects and the 8 subjects listed in the Data Analytics (DA) major in the table below.

Year 1

Study periodSubject codeSubject nameSubject type / majorPre/Co-requisitesMode of deliveryCredit points
1COM501IT Professional Communication and EthicsCoreNAF2F10
1DAT501Database Design and ImplementationCoreNAF2F10
1PRO501Introduction to Programming and AlgorithmsCoreNAF2F10
2PRO502Artificial IntelligenceCorePRO501F2F10
2ENG501Software Design and Development for Data ScienceCorePRO501 and DAT502F2F10

Year 2

Study periodSubject codeSubject nameSubject type / majorPre/Co-requisitesMode of deliveryCredit points
3CAP601Final Project A (Analysis and Design)CoreFirst year core and major subjectsF2F10
4COM602Information Technology, Entrepreneurship and InnovationCoreCOM501F2F10
4CAP602Final Project B (Implementation)CoreCAP601F2F10

Electives List (*Electives currently offered)

Year 1

YearSubject codeSubject nameSubject type / majorPre/Co-requisitesMode of deliveryCredit points
1MLI503Data Analytics, Artificial Intelligence and Decision MakingElectiveNAF2F10
1MLI507Creative thinking for innovation and strategyElectiveNAF2F10
1MLI506Financial Strategies For GrowthElectiveNAF2F10

Year 2

YearSubject codeSubject nameSubject type / majorPre/Co-requisitesMode of deliveryCredit points
2DIR602Directed Study (IT)ElectiveNAF2F10
2ENG601ICT Project ManagementElectiveNAF2F10
2ML1602Digital transformation through innovative technologiesElectiveNAF2F10
2ML1608Business Intelligence & Data VisualisationElectiveNAF2F10
2SEC501Cybersecurity ManagementElectiveNAF2F10

Career Outcomes

There are a wide range of opportunities for students with skills in the application of Artificial Intelligence and Data Analytics. Many organisations are seeking graduates who can manage large data sets and extract useful information from them. A recent SEEK.com search (March 16 2022), for example, identified 5452 positions that mentioned Data Analytics directly. The growing interest and use of AI is also providing opportunities with the SEEK.com survey listing 614 job opportunities in this area. It is likely, however, that employers who are seeking software and application developers will be attracted to a graduate who has software development skills with an AI emphasis on areas such as machine learning, perception and language, human-AI interaction, and decision-making. Some common employment options for graduates of the course include:

  • Business Analyst
  • Business Intelligence Developer.
  • AI software developer.
  • Machine Learning Engineer.

Course Entry Requirements

Master of Information Technology Course Entry Requirements
Course:Master of Information Technology
Minimum age criteria: all applicantsApplicants must be at least 18 years of age on the course commencement date.
Applicants with higher education study: (bridging or enabling course)Must have an Australian Bachelor’s degree (AQF level 7) or overseas equivalent in any discipline.
Applicants with Vocational Education and Training (VET) study:Not Applicable
Applicants with work and life experience:Not Applicable
Applicants with recent secondary education:Not Applicable
Assumed knowledge: all applicantsAssumed to have studied mathematics or a related subject in an undergraduate degree or final year of secondary education. Those without may still apply and are encouraged to participate in support activities.
Additional admission criteria for international students:

Applicants must meet the English Language requirements outlined in AIAT’s Admissions Policy and Procedure. Minimum requirements:

  • Completion of two years or more of study in Australia
  • Successful completion of an Australian Year 12 program
  • Completion of an AIAT-approved English language course
  • Approved English language test scores:
    • IELTS (Academic) Overall 6.5 (min. 6.0 in each sub-score)
    • TOEFL paper-based: 550 (min. 4.5 in TWE)
    • TOEFL IBT: 79 (min. 18 in writing)
    • PTE: 60 (no skill score < 45)
    • CAE Level B2 (176)
Special entry pathway: (exceptional circumstances)

Special entry may be available under exceptional circumstances as per AIAT’s Admissions Policy. Criteria for assessment include:

  • Written or numerical tasks
  • Interview
  • Written assignment
  • Statement from previous education institution
  • Other evidence as required
Applicants with Indigenous Australian background:Priority admission and Indigenous-specific scholarships are available for those confirming Aboriginal or Torres Strait Islander heritage. Contact the Director, Learning and Teaching for support.
Additional Note: Admission requirements are assessed per AIAT’s Admissions Policy and Procedures. Meeting criteria does not guarantee admission.

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